To simplify the predict probability distribution, we assume a uniform variance across both the \(x\)  and \(y\)  dimensions, and we share the variance across all four corners of the bounding box.
As in [1]}, we train the network to predict the log of the standard deviation \(s = \log \sigma \) .
